Combining textual and visual features for image retrieval

8Citations
Citations of this article
12Readers
Mendeley users who have this article in their library.
Get full text

Abstract

This paper presents the approaches used by the MIRACLE team to image retrieval at ImageCLEF 2005. Text-based and content-based techniques have been tested, along with combination of both types of methods to improve image retrieval. The text-based experiments defined this year try to use semantic information sources, like thesaurus with semantic data or text structure. On the other hand, content-based techniques are not part of the main expertise of the MIRACLE team, but multidisciplinary participation in all aspects of information retrieval has been pursued. We rely on a publicly available image retrieval system (GIFT 4) when needed. © Springer-Verlag Berlin Heidelberg 2006.

Cite

CITATION STYLE

APA

Martínez-Fernández, J. L., Román, J. V., García-Serrano, A. M., & González-Cristóbal, J. C. (2006). Combining textual and visual features for image retrieval. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4022 LNCS, pp. 680–691). Springer Verlag. https://doi.org/10.1007/11878773_75

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free